Maninda Edirisooriya

machine learning ml deep learning uom javascript attention models deep lstm deep rnn bidirectional lstm bidirectional rnn gru formula lstm formula sampling one-hot encoding word embedding word vectorization language models sequence models lstm gru rnn kernel trick rbf kernel function support vector machines svm cluster evaluation gaussian mixture model gmm expectation-maximization elbow method k-means clustering model-based clustering density-based clustering distance-based clustering minkowski distance clustering k-nearest neighbor knn cross-validation roc curve f-measure recall precision accuracy confusion matrix machine learning performance ml performance metrics test data set model evaluation hyperparameter tuning data balancing xgboost boosting random forrest bagging bootstrapping regularization entropy gini index cart algorithm ensemble methods decision trees imputation feature generation feature scaling feature transformation feature encoding backward elimination forward selection feature engineering bias variance tradeoff error underfit overfit variance bias softmax function exponential polynomial family non-linear classification classification algorithms logistic function logistic regression ml algorithm gradient descent learning algorithm statistical and ml statistical learning lr simple linear regression linear regression data summarization data mining pandas data manipulation data pre-processing exploratory data analytics eda sri lanka university of moratuwa ml recommendations learning ml basics introduction statistical machine learning monitoring wso2 bam android web application mobile applications toolbox big data wso2 zone24x7 wddbs project data visualization positive thinking mentoring car remote control robot encryption chat